Triple
T10374551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roswell Air Center |
E244470
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object | ROW |
E860814
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ROW | Statement: [Roswell Air Center, FAAcode, ROW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ROW Context triple: [Roswell Air Center, FAAcode, ROW]
-
A.
ROW
chosen
ROW is the three-letter IATA airport code for Roswell Air Center in Roswell, New Mexico.
-
B.
DataRow
DataRow is a fundamental ADO.NET class that represents a single row of data within a DataTable, providing access to and manipulation of the row’s column values.
-
C.
The Rows
The Rows are a distinctive series of medieval two-tiered, half-timbered shopping galleries lining the main streets in the historic center of Chester, England.
-
D.
COL
COL is the standard NHL abbreviation for the Colorado Avalanche professional ice hockey team.
-
E.
COL
COL is the standard three-letter abbreviation used to represent the Colorado Rapids, a professional Major League Soccer team based in the Denver metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9804e708190b15f5d38cac9c4c1 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fb98c52c8190a52682feacc2bd0d |
completed | April 9, 2026, 7:18 p.m. |
Created at: April 6, 2026, 12:02 p.m.